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8628b70c | 1 | #include "AliAnalysisTaskChargedJetsPA.h" |
2 | ||
3 | ||
4 | //TODO: FillHistogram can be done better with virtual TH1(?) | |
5 | ClassImp(AliAnalysisTaskChargedJetsPA) | |
6 | ||
7 | // ######################################################################################## DEFINE HISTOGRAMS | |
8 | void AliAnalysisTaskChargedJetsPA::Init() | |
9 | { | |
10 | #ifdef DEBUGMODE | |
efb9b161 | 11 | AliInfo("Creating histograms."); |
8628b70c | 12 | #endif |
13 | // NOTE: Track & Cluster & QA histograms | |
14 | if (fAnalyzeQA) | |
15 | { | |
16 | ||
17 | AddHistogram1D<TH1D>("hNumberEvents", "Number of events (0 = before, 1 = after vertex cuts)", "", 2, 0, 2, "#Delta z(cm)","N^{Events}/cut"); | |
18 | ||
19 | AddHistogram1D<TH1D>("hAppliedEtaCorrectionFactor", "Applied #eta correction factor for the k_{T} background", "", 500, 0.5, 1.5, "Correction factor","dN^{Jets}/df"); | |
20 | AddHistogram1D<TH1D>("hAppliedEtaCorrectionFactor2", "Applied #eta correction factor for the k_{T} background 2", "", 500, 0.5, 1.5, "Correction factor","dN^{Jets}/df"); | |
21 | AddHistogram1D<TH1D>("hVertexZ", "Z distribution of the vertex", "", 400, -40., 40., "#Delta z(cm)","dN^{Events}/dz"); | |
22 | ||
23 | AddHistogram1D<TH1D>("hVertexR", "R distribution of the vertex", "", 100, 0., 1., "#Delta r(cm)","dN^{Events}/dr"); | |
24 | AddHistogram1D<TH1D>("hCentrality", "Centrality distribution", "", 5, 0., 100., "Centrality (classes)","dN^{Events}"); | |
25 | ||
26 | AddHistogram2D<TH2D>("hTrackCountAcc", "Number of tracks in acceptance vs. centrality", "LEGO2", 750, 0., 750., 5, 0, 100, "N tracks","Centrality", "dN^{Events}/dN^{Tracks}"); | |
27 | AddHistogram2D<TH2D>("hTrackPhiEta", "Track angular distribution", "LEGO2", 100, 0., 2*TMath::Pi(),100, -2.5, 2.5, "#phi","#eta","dN^{Tracks}/(d#phi d#eta)"); | |
28 | AddHistogram1D<TH1D>("hTrackPt", "Tracks p_{T} distribution", "", 20000, 0., 200., "p_{T} (GeV/c)","dN^{Tracks}/dp_{T}"); | |
29 | AddHistogram1D<TH1D>("hTrackCharge", "Charge", "", 11, -5, 5, "Charge (e)","dN^{Tracks}/dq"); | |
30 | AddHistogram1D<TH1D>("hTrackEta", "Track #eta distribution", "", 180, -fTrackEtaWindow, +fTrackEtaWindow, "#eta","dN^{Tracks}/d#eta"); | |
31 | ||
32 | AddHistogram2D<TH2D>("hClusterCountAcc", "Number of clusters in acceptance vs. centrality", "LEGO2", 750, 0., 750., 5, 0, 100, "N clusters","Centrality", "dN^{Events}/dN^{Clusters}"); | |
33 | AddHistogram1D<TH1D>("hClusterE", "Clusters energy distribution", "", 20000, 0., 200., "p_{T} (GeV/c)","dN^{Cluster}/dp_{T}"); | |
34 | } | |
35 | ||
36 | // NOTE: Pythia histograms | |
37 | if (fAnalyzePythia) | |
38 | { | |
39 | AddHistogram1D<TH1D>("hPythiaPtHard", "Pythia p_{T} hard distribution", "", 2000, 0, 400, "p_{T} hard","dN^{Events}/dp_{T,hard}"); | |
7b4822c6 | 40 | AddHistogram1D<TProfile>("hPythiaXSection", "Pythia cross section distribution", "", fNumPtHardBins+2, -1, fNumPtHardBins+1, "p_{T} hard bin","dN^{Events}/dp_{T,hard}"); |
41 | AddHistogram1D<TH1D>("hPythiaNTrials", "Pythia trials (no correction for manual cuts)", "", fNumPtHardBins+2, -1, fNumPtHardBins+1, "p_{T} hard bin", "Trials"); | |
8628b70c | 42 | } |
43 | ||
44 | // NOTE: Jet histograms | |
45 | if (fAnalyzeJets) | |
46 | { | |
47 | // ######## Jet spectra | |
48 | AddHistogram1D<TH1D>("hJetPt", "Jets p_{T} distribution", "", 1000, 0., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
49 | AddHistogram1D<TH1D>("hJetPtBgrdSubtractedRC", "Jets p_{T} distribution, RC background subtracted", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
50 | AddHistogram1D<TH1D>("hJetPtBgrdSubtractedKT", "Jets p_{T} distribution, KT background subtracted, corrected for eta dependence)", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
51 | AddHistogram1D<TH1D>("hJetPtBgrdSubtractedKTNoEtaCorr", "Jets p_{T} distribution, KT background subtracted", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
52 | AddHistogram1D<TH1D>("hJetPtBgrdSubtractedKT2", "Jets p_{T} distribution, KT background 2 subtracted, corrected for eta dependence)", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
53 | AddHistogram1D<TH1D>("hJetPtBgrdSubtractedKT2NoEtaCorr", "Jets p_{T} distribution, KT background 2 subtracted", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
54 | ||
55 | AddHistogram1D<TH1D>("hJetPtBgrdSubtractedTR", "Jets p_{T} distribution, Track background subtracted", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
56 | ||
57 | ||
58 | AddHistogram1D<TH1D>("hJetArea", "Jets area distribution", "", 200, 0., 2., "Area","dN^{Jets}/dA"); | |
59 | AddHistogram2D<TH2D>("hJetPtArea", "Jets p_{T} distribution", "LEGO2", 1000, 0., 200.,100, 0., 1., "p_{T} (GeV/c)","Area","dN^{Jets}/(dp_{T}dA)"); | |
60 | AddHistogram1D<TH1D>("hJetDeltaPhi", "Jets combinatorial #Delta #phi", "", 250, 0., TMath::Pi(), "#Delta #phi","dN^{Jets}/d(#Delta #phi)"); | |
61 | AddHistogram2D<TH2D>("hJetDeltaPhiPt", "Jets combinatorial #Delta #phi vs. p_{T}", "LEGO2", 250, 0., TMath::Pi(), 20, 0.,100., "#Delta #phi","max(p_{T,1},p_{T,2}) (GeV/c)","dN^{Jets}/d(#Delta #phi)dp_{T}"); | |
62 | AddHistogram1D<TH1D>("hLeadingJetDeltaPhi", "1st and 2nd leading jet #Delta #phi", "", 250, 0., TMath::Pi(), "#Delta #phi","dN^{Jets}/d(#Delta #phi)"); | |
63 | AddHistogram2D<TH2D>("hLeadingJetDeltaPhiPt", "1st and 2nd leading jet #Delta #phi vs. p_{T}", "LEGO2", 250, 0., TMath::Pi(),20, 0.,100., "#Delta #phi","1st leading p_{T} (GeV/c)","dN^{Jets}/d(#Delta #phi)dp_{T}"); | |
64 | AddHistogram2D<TH2D>("hJetPtEta", "Jets p_{T} distribution", "LEGO2", 1000, 0., 200.,100, -0.6, 0.6, "p_{T} (GeV/c)","#eta","dN^{Jets}/(dp_{T}d#eta)"); | |
65 | AddHistogram2D<TH2D>("hJetPtPhi", "Jets p_{T} #phi distribution", "LEGO2", 1000, 0., 200.,100, 0.0, TMath::TwoPi(), "p_{T} (GeV/c)","#phi","dN^{Jets}/(dp_{T}d#phi)"); | |
66 | AddHistogram2D<TH2D>("hJetPtCentrality", "Jets p_{T} distribution", "LEGO2", 1000, 0., 200.,5, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}"); | |
67 | AddHistogram2D<TH2D>("hJetPhiEta", "Jets angular distribution", "LEGO2", 100, 0., 2*TMath::Pi(),100, -0.6, 0.6, "#phi","#eta","dN^{Jets}/(d#phi d#eta)"); | |
68 | AddHistogram1D<TH1D>("hJetCountAll", "Number of Jets", "", 200, 0., 200., "N jets","dN^{Events}/dN^{Jets}"); | |
69 | AddHistogram1D<TH1D>("hJetCountAccepted", "Number of accepted Jets", "", 200, 0., 200., "N jets","dN^{Events}/dN^{Jets}"); | |
70 | ||
71 | AddHistogram1D<TH1D>("hLeadingJetPt", "Leading jet p_{T}", "", 500, 0, 100, "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
72 | AddHistogram1D<TH1D>("hSecondLeadingJetPt", "Second Leading jet p_{T}", "", 500, 0, 100, "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
73 | ||
74 | AddHistogram1D<TH1D>("hDijetConstituentsPt", "Dijet constituents p_{T} distribution", "", 500, 0., 100., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
75 | AddHistogram1D<TH1D>("hDijetLeadingJetPt", "Dijet leading jet p_{T} distribution", "", 500, 0., 100., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
76 | AddHistogram2D<TH2D>("hDijetPtCorrelation", "Dijet constituents p_{T} correlation", "COLZ", 500, 5., 100., 500, 5., 100., "1st leading jet p_{T} (GeV/c)","2nd leading jet p_{T} (GeV/c)","dN^{Dijets}/d^{2}p_{T}"); | |
77 | ||
78 | AddHistogram1D<TH1D>("hDijet2ConstituentsPt", "Dijet2 constituents p_{T} distribution", "", 500, 0., 100., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
79 | AddHistogram1D<TH1D>("hDijet2LeadingJetPt", "Dijet2 leading jet p_{T} distribution", "", 500, 0., 100., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}"); | |
80 | AddHistogram2D<TH2D>("hDijet2PtCorrelation", "Dijet2 constituents p_{T} correlation", "COLZ", 500, 5., 100., 500, 5., 100., "1st leading jet p_{T} (GeV/c)","2nd leading jet p_{T} (GeV/c)","dN^{Dijets}/d^{2}p_{T}"); | |
81 | ||
82 | } | |
83 | // NOTE: Jet background histograms | |
84 | if (fAnalyzeBackground) | |
85 | { | |
86 | // ########## Delta Pt | |
87 | AddHistogram1D<TH1D>("hDeltaPtKT", "Background fluctuations #delta p_{T} (KT, 0 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
88 | AddHistogram1D<TH1D>("hDeltaPtKT1Excl", "Background fluctuations #delta p_{T} (KT, 1 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
89 | AddHistogram1D<TH1D>("hDeltaPtKT2Excl", "Background fluctuations #delta p_{T} (KT, 2 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
90 | ||
91 | Double_t dptEtaMin = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * fKTDeltaPtEtaBin; | |
92 | Double_t dptEtaMax = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * (fKTDeltaPtEtaBin+1); | |
93 | ||
94 | AddHistogram1D<TH1D>("hDeltaPtKTEta", Form("Background fluctuations #delta p_{T} (KT, 0 jets excluded, #eta=%1.3f to %1.3f)", dptEtaMin,dptEtaMax), "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
95 | AddHistogram1D<TH1D>("hDeltaPtKTEta1Excl", Form("Background fluctuations #delta p_{T} (KT, 1 jets excluded, #eta=%1.3f to %1.3f)", dptEtaMin,dptEtaMax), "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
96 | AddHistogram1D<TH1D>("hDeltaPtKTEta2Excl", Form("Background fluctuations #delta p_{T} (KT, 2 jets excluded, #eta=%1.3f to %1.3f)", dptEtaMin,dptEtaMax), "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
97 | ||
98 | AddHistogram1D<TH1D>("hDeltaPtKT2Eta2Excl", Form("Background fluctuations #delta p_{T} (KT 2, 2 jets excluded, #eta=%1.3f to %1.3f)", dptEtaMin,dptEtaMax), "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
99 | ||
100 | AddHistogram1D<TH1D>("hDeltaPtRC", "Background fluctuations #delta p_{T} (RC, 0 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
101 | AddHistogram1D<TH1D>("hDeltaPtRC1Excl", "Background fluctuations #delta p_{T} (RC, 1 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
102 | AddHistogram1D<TH1D>("hDeltaPtRC2Excl", "Background fluctuations #delta p_{T} (RC, 2 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
103 | ||
104 | AddHistogram1D<TH1D>("hDeltaPtTR", "Background fluctuations #delta p_{T} (TR, 0 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
105 | AddHistogram1D<TH1D>("hDeltaPtTR1Excl", "Background fluctuations #delta p_{T} (TR, 1 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
106 | AddHistogram1D<TH1D>("hDeltaPtTR2Excl", "Background fluctuations #delta p_{T} (TR, 2 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}"); | |
107 | ||
108 | ||
109 | ||
110 | AddHistogram2D<TH2D>("hKTJetPhiEta", "KT Jets angular distribution", "LEGO2", 100, 0., 2*TMath::Pi(),100, -0.6, 0.6, "#phi","#eta","dN^{Jets}/(d#phi d#eta)"); | |
111 | AddHistogram2D<TH2D>("hKTLeadingJetPhiEta", "KT Leading jets angular distribution", "LEGO2", 100, 0., 2*TMath::Pi(),100, -0.6, 0.6, "#phi","#eta","dN^{Jets}/(d#phi d#eta)"); | |
112 | ||
113 | AddHistogram1D<TH1D>("hDijetBackground", "Background density (dijets excluded)", "", 400, 0., 40., "#rho (GeV/c)","dN^{Events}/d#rho"); | |
114 | AddHistogram1D<TH1D>("hDijetBackgroundMostCentral", "Background density (0-20 centrality, dijets excluded)", "", 400, 0., 40., "#rho (GeV/c)","dN^{Events}/d#rho"); | |
115 | AddHistogram2D<TH2D>("hDijetBackgroundVsCentrality", "Background density vs. centrality (dijets excluded)", "", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho"); | |
116 | ||
117 | AddHistogram1D<TH1D>("hDijetBackgroundPerpendicular", "Background density (dijets excluded)", "", 400, 0., 40., "#rho (GeV/c)","dN^{Events}/d#rho"); | |
118 | AddHistogram1D<TH1D>("hDijetBackgroundPerpendicularMostCentral", "Background density (0-20 centrality, dijets excluded)", "", 400, 0., 40., "#rho (GeV/c)","dN^{Events}/d#rho"); | |
119 | AddHistogram2D<TH2D>("hDijetBackgroundPerpendicularVsCentrality", "Background density vs. centrality (dijets excluded)", "", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho"); | |
120 | ||
121 | AddHistogram2D<TH2D>("hRCBackground", "RC background density (2 leading jets excluded, mean(8 RCs))", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho"); | |
122 | ||
123 | AddHistogram1D<TH1D>("hAccConesInRCBackground", Form("Number of cones used for RC background (|#eta| < %1.1f)", fSignalJetEtaWindow), "", 8, 0, 8, "Used cones", "dN^{Events}/dN^{Cones}"); | |
124 | ||
125 | AddHistogram2D<TH2D>("hRCBackgroundMostCentral", "RC background density (0-20 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho"); | |
126 | AddHistogram2D<TH2D>("hRCBackgroundMostPeripheral", "RC background density (80-100 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho"); | |
127 | AddHistogram2D<TH2D>("hRCBackgroundVsCentrality", "RC background density vs centrality (2 leading jets excluded)", "LEGO2", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho"); | |
128 | ||
129 | ||
130 | AddHistogram2D<TH2D>("hKTBackground", "KT background density (2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho"); | |
131 | AddHistogram2D<TH2D>("hKTBackgroundMostCentral", "KT background density (0-20 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho"); | |
132 | AddHistogram2D<TH2D>("hKTBackgroundMostPeripheral", "KT background density (80-100 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho"); | |
133 | AddHistogram2D<TH2D>("hKTBackgroundVsCentrality", "KT background density vs centrality (2 leading jets excluded)", "LEGO2", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho"); | |
134 | ||
135 | AddHistogram2D<TH2D>("hKTBackground2", "KT background 2 density (2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho"); | |
136 | AddHistogram2D<TH2D>("hKTBackground2MostCentral", "KT background 2 density (0-20 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho"); | |
137 | AddHistogram2D<TH2D>("hKTBackground2MostPeripheral", "KT background 2 density (80-100 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho"); | |
138 | AddHistogram2D<TH2D>("hKTBackground2VsCentrality", "KT background 2 density vs centrality (2 leading jets excluded)", "LEGO2", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho"); | |
139 | ||
140 | ||
141 | AddHistogram2D<TH2D>("hTrackBackground", "Track background density (2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho"); | |
142 | AddHistogram2D<TH2D>("hTrackBackgroundMostCentral", "Track background density (0-20 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho"); | |
143 | AddHistogram2D<TH2D>("hTrackBackgroundMostPeripheral", "Track background density (80-100 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho"); | |
144 | AddHistogram2D<TH2D>("hTrackBackgroundVsCentrality", "Track background density vs centrality (2 leading jets excluded)", "LEGO2", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho"); | |
145 | ||
146 | } | |
147 | ||
148 | ||
149 | ||
150 | // register Histograms | |
151 | for (Int_t i = 0; i < fHistCount; i++) | |
152 | { | |
153 | fOutputList->Add(fHistList->At(i)); | |
154 | } | |
155 | ||
156 | PostData(1,fOutputList); // important for merging | |
157 | ||
158 | } | |
159 | ||
160 | //________________________________________________________________________ | |
efb9b161 | 161 | AliAnalysisTaskChargedJetsPA::AliAnalysisTaskChargedJetsPA(const char *name, const char* trackArrayName, const char* clusterArrayName, const char* jetArrayName, const char* backgroundJetArrayName) : AliAnalysisTaskSE(name), fOutputList(0), fAnalyzeQA(1), fAnalyzeJets(1), fAnalyzeBackground(1), fAnalyzePythia(0), fHasTracks(0), fHasClusters(0), fHasJets(0), fHasBackgroundJets(0), fIsMC(0), fJetArray(0), fTrackArray(0), fClusterArray(0), fBackgroundJetArray(0), fJetArrayName(0), fTrackArrayName(0), fClusterArrayName(0), fBackgroundJetArrayName(0), fNumPtHardBins(11), fRandConeRadius(0.4), fSignalJetRadius(0.4), fBackgroundJetRadius(0.4), fKTDeltaPtEtaBin(3), fTrackBackgroundConeRadius(0.4), fNumberRandCones(8), fNumberExcludedJets(2), fDijetMaxAngleDeviation(10.0), fBackgroundEtaBins(5), fJetBgrdCorrectionFactors(0), fSignalJetEtaWindow(0.5), fBackgroundJetEtaWindow(0.5), fTrackEtaWindow(0.9), fClusterEtaWindow(0.7), fVertexWindow(10.0), fVertexMaxR(1.0), fMinTrackPt(0.150), fMinClusterPt(0.300), fMinJetPt(1.0), fMinJetArea(0.4), fMinBackgroundJetPt(0.15), fMinDijetLeadingPt(10.0), fFirstLeadingJet(0), fSecondLeadingJet(0), fNumberSignalJets(0), fCrossSection(0.0), fTrials(0.0), fRandom(0), fInitialized(0), fTaskInstanceCounter(0), fHistList(0), fHistCount(0) |
8628b70c | 162 | { |
163 | #ifdef DEBUGMODE | |
efb9b161 | 164 | AliInfo("Calling constructor."); |
8628b70c | 165 | #endif |
166 | ||
167 | // Constructor | |
168 | // Define input and output slots here (never in the dummy constructor) | |
169 | // Input slot #0 works with a TChain - it is connected to the default input container | |
170 | // Output slot #1 writes into a TH1 container | |
171 | // Constructor | |
172 | ||
173 | // Every instance of this task gets his own number | |
174 | static Int_t instance = 0; | |
175 | fTaskInstanceCounter = instance; | |
176 | instance++; | |
177 | ||
178 | fTrackArrayName = new TString(trackArrayName); | |
179 | fClusterArrayName = new TString(clusterArrayName); | |
180 | if (strcmp(fTrackArrayName->Data(),"") == 0) | |
181 | fAnalyzeQA = kFALSE; | |
182 | else | |
183 | { | |
184 | fAnalyzeQA = kTRUE; | |
185 | if (fTrackArrayName->Contains("MCParticles")) //TODO: Hardcoded for now | |
186 | fIsMC = kTRUE; | |
187 | } | |
188 | ||
189 | fJetArrayName = new TString(jetArrayName); | |
190 | if (strcmp(fJetArrayName->Data(),"") == 0) | |
191 | fAnalyzeJets = kFALSE; | |
192 | else | |
193 | fAnalyzeJets = kTRUE; | |
194 | ||
195 | fBackgroundJetArrayName = new TString(backgroundJetArrayName); | |
196 | if (strcmp(fBackgroundJetArrayName->Data(),"") == 0) | |
197 | fAnalyzeBackground = kFALSE; | |
198 | else | |
199 | fAnalyzeBackground = kTRUE; | |
200 | ||
201 | DefineOutput(1, TList::Class()); | |
202 | ||
203 | fHistList = new TList(); | |
204 | ||
205 | #ifdef DEBUGMODE | |
efb9b161 | 206 | AliInfo("Constructor done."); |
8628b70c | 207 | #endif |
208 | ||
209 | } | |
210 | ||
211 | //________________________________________________________________________ | |
212 | inline Double_t AliAnalysisTaskChargedJetsPA::GetConePt(Double_t eta, Double_t phi, Double_t radius) | |
213 | { | |
214 | Double_t tmpConePt = 0.0; | |
215 | ||
216 | for (Int_t i = 0; i < fTrackArray->GetEntries(); i++) | |
217 | { | |
218 | AliVTrack* tmpTrack = static_cast<AliVTrack*>(fTrackArray->At(i)); | |
219 | if (IsTrackInAcceptance(tmpTrack)) | |
220 | if(IsTrackInCone(tmpTrack, eta, phi, radius)) | |
221 | tmpConePt = tmpConePt + tmpTrack->Pt(); | |
222 | } | |
223 | return tmpConePt; | |
224 | } | |
225 | ||
226 | //________________________________________________________________________ | |
227 | inline Double_t AliAnalysisTaskChargedJetsPA::GetPtHard() | |
228 | { | |
229 | Double_t tmpPtHard = -1.0; | |
230 | ||
231 | if (!MCEvent()) | |
232 | AliError("MCEvent not accessible although demanded!"); | |
233 | else | |
234 | { | |
235 | AliGenPythiaEventHeader* pythiaHeader = dynamic_cast<AliGenPythiaEventHeader*>(MCEvent()->GenEventHeader()); | |
236 | if (!pythiaHeader) | |
237 | AliError("Pythia Header not accessible!"); | |
238 | else | |
239 | tmpPtHard = pythiaHeader->GetPtHard(); | |
240 | } | |
241 | return tmpPtHard; | |
242 | } | |
243 | ||
244 | //________________________________________________________________________ | |
245 | inline Int_t AliAnalysisTaskChargedJetsPA::GetPtHardBin() | |
246 | { | |
247 | // ########## PT HARD BIN EDGES | |
248 | const Int_t localkPtHardLowerEdges[] = { 0, 5,11,21,36,57, 84,117,152,191,234}; | |
249 | const Int_t localkPtHardHigherEdges[] = { 5,11,21,36,57,84,117,152,191,234,1000000}; | |
250 | ||
251 | Int_t tmpPtHardBin = 0; | |
252 | Double_t tmpPtHard = GetPtHard(); | |
253 | ||
254 | for (tmpPtHardBin = 0; tmpPtHardBin <= fNumPtHardBins; tmpPtHardBin++) | |
255 | if (tmpPtHard >= localkPtHardLowerEdges[tmpPtHardBin] && tmpPtHard < localkPtHardHigherEdges[tmpPtHardBin]) | |
256 | break; | |
257 | ||
258 | return tmpPtHardBin; | |
259 | } | |
260 | ||
261 | ||
262 | //________________________________________________________________________ | |
263 | inline Bool_t AliAnalysisTaskChargedJetsPA::IsTrackInCone(AliVTrack* track, Double_t eta, Double_t phi, Double_t radius) | |
264 | { | |
265 | // This is to use a full cone in phi even at the edges of phi (2pi -> 0) (0 -> 2pi) | |
266 | Double_t trackPhi = 0.0; | |
267 | if (track->Phi() > (TMath::TwoPi() - (radius-phi))) | |
268 | trackPhi = track->Phi() - TMath::TwoPi(); | |
269 | else if (track->Phi() < (phi+radius - TMath::TwoPi())) | |
270 | trackPhi = track->Phi() + TMath::TwoPi(); | |
271 | else | |
272 | trackPhi = track->Phi(); | |
273 | ||
274 | if ( TMath::Abs(trackPhi-phi)*TMath::Abs(trackPhi-phi) + TMath::Abs(track->Eta()-eta)*TMath::Abs(track->Eta()-eta) <= radius*radius) | |
275 | return kTRUE; | |
276 | ||
277 | return kFALSE; | |
278 | } | |
279 | ||
280 | //________________________________________________________________________ | |
281 | inline Bool_t AliAnalysisTaskChargedJetsPA::IsTrackInAcceptance(AliVParticle* track) | |
282 | { | |
283 | if (track != 0) | |
284 | if (TMath::Abs(track->Eta()) <= fTrackEtaWindow) | |
285 | if (track->Pt() >= fMinTrackPt) | |
286 | return kTRUE; | |
287 | ||
288 | return kFALSE; | |
289 | } | |
290 | ||
291 | //________________________________________________________________________ | |
292 | inline Bool_t AliAnalysisTaskChargedJetsPA::IsClusterInAcceptance(AliVCluster* cluster) | |
293 | { | |
294 | if (cluster != 0) | |
295 | // if (TMath::Abs(cluster->Eta()) <= fClusterEtaWindow) | |
296 | // if (cluster->Phi() <= 187.0/360.0 * TMath::TwoPi()); | |
297 | // if (cluster->Phi() >= 80.0/360.0 * TMath::TwoPi()); | |
298 | if (cluster->E() >= fMinClusterPt) | |
299 | return kTRUE; | |
300 | ||
301 | return kFALSE; | |
302 | } | |
303 | ||
304 | ||
305 | //________________________________________________________________________ | |
306 | inline Bool_t AliAnalysisTaskChargedJetsPA::IsBackgroundJetInAcceptance(AliEmcalJet *jet) | |
307 | { | |
308 | if (jet != 0) | |
309 | if (TMath::Abs(jet->Eta()) <= fBackgroundJetEtaWindow) | |
310 | if (jet->Pt() >= fMinBackgroundJetPt) | |
311 | return kTRUE; | |
312 | ||
313 | return kFALSE; | |
314 | } | |
315 | ||
316 | //________________________________________________________________________ | |
317 | inline Bool_t AliAnalysisTaskChargedJetsPA::IsSignalJetInAcceptance(AliEmcalJet *jet) | |
318 | { | |
319 | if (jet != 0) | |
320 | if (TMath::Abs(jet->Eta()) <= fSignalJetEtaWindow) | |
321 | if (jet->Pt() >= fMinJetPt) | |
322 | if (jet->Area() >= fMinJetArea) | |
323 | return kTRUE; | |
324 | ||
325 | return kFALSE; | |
326 | } | |
327 | ||
328 | //________________________________________________________________________ | |
329 | inline Bool_t AliAnalysisTaskChargedJetsPA::IsDijet(AliEmcalJet *jet1, AliEmcalJet *jet2) | |
330 | { | |
331 | // Output from GetDeltaPhi is < pi in any case | |
332 | if ((jet1 != 0) && (jet2 != 0)) | |
333 | if((TMath::Pi() - GetDeltaPhi(jet1->Phi(),jet2->Phi())) < fDijetMaxAngleDeviation) | |
334 | if ((jet1->Pt() > fMinDijetLeadingPt) && (jet2->Pt() > fMinDijetLeadingPt)) //TODO: Introduce recoil jet? | |
335 | return kTRUE; | |
336 | ||
337 | return kFALSE; | |
338 | } | |
339 | ||
340 | //________________________________________________________________________ | |
341 | void AliAnalysisTaskChargedJetsPA::ExecOnce() | |
342 | { | |
343 | #ifdef DEBUGMODE | |
efb9b161 | 344 | AliInfo("Starting ExecOnce."); |
8628b70c | 345 | #endif |
346 | fInitialized = kTRUE; | |
347 | ||
348 | // Check for track array | |
349 | if (strcmp(fTrackArrayName->Data(), "") != 0) | |
350 | { | |
351 | fTrackArray = dynamic_cast<TClonesArray*>(InputEvent()->FindListObject(fTrackArrayName->Data())); | |
352 | fHasTracks = kTRUE; | |
353 | if (!fTrackArray) | |
354 | { | |
355 | AliInfo(Form("%s: Could not retrieve tracks %s! This is OK, if tracks are not demanded.", GetName(), fTrackArrayName->Data())); | |
356 | fHasTracks = kFALSE; | |
357 | } | |
358 | else | |
359 | { | |
360 | TClass *cl = fTrackArray->GetClass(); | |
361 | if (!cl->GetBaseClass("AliVParticle")) | |
362 | { | |
363 | AliError(Form("%s: Collection %s does not contain AliVParticle objects!", GetName(), fTrackArrayName->Data())); | |
364 | fTrackArray = 0; | |
365 | fHasTracks = kFALSE; | |
366 | } | |
367 | } | |
368 | } | |
369 | // Check for cluster array | |
370 | if (strcmp(fClusterArrayName->Data(), "") != 0) | |
371 | { | |
372 | fClusterArray = dynamic_cast<TClonesArray*>(InputEvent()->FindListObject(fClusterArrayName->Data())); | |
373 | fHasClusters = kTRUE; | |
374 | if (!fClusterArray) | |
375 | { | |
376 | AliInfo(Form("%s: Could not retrieve clusters %s! This is OK, if clusters are not demanded.", GetName(), fClusterArrayName->Data())); | |
377 | fHasClusters = kFALSE; | |
378 | } | |
379 | else | |
380 | { | |
381 | TClass *cl = fClusterArray->GetClass(); | |
382 | if (!cl->GetBaseClass("AliVCluster")) | |
383 | { | |
384 | AliError(Form("%s: Collection %s does not contain AliVCluster objects!", GetName(), fClusterArrayName->Data())); | |
385 | fClusterArray = 0; | |
386 | fHasClusters = kFALSE; | |
387 | } | |
388 | } | |
389 | } | |
390 | ||
391 | // Check for jet array | |
392 | if (strcmp(fJetArrayName->Data(), "") != 0) | |
393 | { | |
394 | fJetArray = dynamic_cast<TClonesArray*>(InputEvent()->FindListObject(fJetArrayName->Data())); | |
395 | fHasJets = kTRUE; | |
396 | ||
397 | if (!fJetArray) | |
398 | { | |
399 | AliInfo(Form("%s: Could not retrieve jets %s! This is OK, if jets are not demanded.", GetName(), fJetArrayName->Data())); | |
400 | fHasJets = kFALSE; | |
401 | } | |
402 | else | |
403 | { | |
404 | if (!fJetArray->GetClass()->GetBaseClass("AliEmcalJet")) | |
405 | { | |
406 | AliError(Form("%s: Collection %s does not contain AliEmcalJet objects!", GetName(), fJetArrayName->Data())); | |
407 | fJetArray = 0; | |
408 | fHasJets = kFALSE; | |
409 | } | |
410 | } | |
411 | } | |
412 | ||
413 | // Check for background object | |
414 | if (strcmp(fBackgroundJetArrayName->Data(), "") != 0) | |
415 | { | |
416 | fBackgroundJetArray = dynamic_cast<TClonesArray*>(InputEvent()->FindListObject(fBackgroundJetArrayName->Data())); | |
417 | fHasBackgroundJets = kTRUE; | |
418 | if (!fBackgroundJetArray) | |
419 | { | |
420 | AliInfo(Form("%s: Could not retrieve background jets %s! This is OK, if background is not demanded.", GetName(), fBackgroundJetArrayName->Data())); | |
421 | fHasBackgroundJets = kFALSE; | |
422 | } | |
423 | } | |
424 | ||
425 | // Look, if initialization is OK | |
426 | if ((!fHasTracks && fAnalyzeQA) || (!fHasTracks && fAnalyzeBackground)) | |
427 | { | |
428 | AliError(Form("%s: Tracks NOT successfully casted although demanded! Deactivating QA and background analysis",GetName())); | |
429 | fAnalyzeQA = kFALSE; | |
430 | fAnalyzeBackground = kFALSE; | |
431 | } | |
432 | if ((!fHasJets && fAnalyzeJets) || (!fHasJets && fAnalyzeBackground)) | |
433 | { | |
434 | AliError(Form("%s: Jets NOT successfully casted although demanded! Deactivating jet- and background analysis",GetName())); | |
435 | fAnalyzeJets = kFALSE; | |
436 | fAnalyzeBackground = kFALSE; | |
437 | } | |
438 | if (!fHasBackgroundJets && fAnalyzeBackground) | |
439 | { | |
440 | AliError(Form("%s: Background NOT successfully casted although demanded! Deactivating background analysis",GetName())); | |
441 | fAnalyzeBackground = kFALSE; | |
442 | } | |
443 | ||
444 | // Histogram init | |
445 | Init(); | |
446 | ||
447 | #ifdef DEBUGMODE | |
efb9b161 | 448 | AliInfo("ExecOnce done."); |
8628b70c | 449 | #endif |
450 | ||
451 | } | |
452 | ||
453 | //________________________________________________________________________ | |
454 | void AliAnalysisTaskChargedJetsPA::GetSignalJets() | |
455 | { | |
456 | // Reset vars | |
457 | fFirstLeadingJet = NULL; | |
458 | fSecondLeadingJet = NULL; | |
459 | fNumberSignalJets = 0; | |
460 | ||
461 | Float_t maxJetPts[] = {0, 0}; | |
462 | Int_t jetIDArray[] = {-1, -1}; | |
463 | Int_t jetCount = fJetArray->GetEntries(); | |
464 | ||
465 | // Go through all jets and save signal jets and the two leading ones | |
466 | for (Int_t i = 0; i < jetCount; i++) | |
467 | { | |
468 | AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJetArray->At(i)); | |
469 | if (!jet) | |
470 | { | |
471 | AliError(Form("%s: Could not receive jet %d", GetName(), i)); | |
472 | continue; | |
473 | } | |
474 | ||
475 | if (!IsSignalJetInAcceptance(jet)) continue; | |
476 | ||
477 | if (jet->Pt() > maxJetPts[0]) | |
478 | { | |
479 | maxJetPts[1] = maxJetPts[0]; | |
480 | jetIDArray[1] = jetIDArray[0]; | |
481 | maxJetPts[0] = jet->Pt(); | |
482 | jetIDArray[0] = i; | |
483 | } | |
484 | else if (jet->Pt() > maxJetPts[1]) | |
485 | { | |
486 | maxJetPts[1] = jet->Pt(); | |
487 | jetIDArray[1] = i; | |
488 | } | |
489 | fSignalJets[fNumberSignalJets] = jet; | |
490 | fNumberSignalJets++; | |
491 | } | |
492 | ||
493 | if (fNumberSignalJets > 0) | |
494 | fFirstLeadingJet = static_cast<AliEmcalJet*>(fJetArray->At(jetIDArray[0])); | |
495 | if (fNumberSignalJets > 1) | |
496 | fSecondLeadingJet = static_cast<AliEmcalJet*>(fJetArray->At(jetIDArray[1])); | |
497 | ||
498 | } | |
499 | ||
500 | //________________________________________________________________________ | |
501 | Int_t AliAnalysisTaskChargedJetsPA::GetLeadingJets(TClonesArray* jetArray, Int_t* jetIDArray, Bool_t isSignalJets) | |
502 | { | |
503 | // Writes first two leading jets into already registered array jetIDArray | |
504 | ||
505 | if (!jetArray) | |
506 | { | |
507 | AliError("Could not get the jet array to get leading jets from it!"); | |
508 | return 0; | |
509 | } | |
510 | ||
511 | Float_t maxJetPts[] = {0, 0}; | |
512 | jetIDArray[0] = -1; | |
513 | jetIDArray[1] = -1; | |
514 | ||
515 | Int_t jetCount = jetArray->GetEntries(); | |
516 | Int_t jetCountAccepted = 0; | |
517 | ||
518 | for (Int_t i = 0; i < jetCount; i++) | |
519 | { | |
520 | AliEmcalJet* jet = static_cast<AliEmcalJet*>(jetArray->At(i)); | |
521 | if (!jet) | |
522 | { | |
523 | AliError(Form("%s: Could not receive jet %d", GetName(), i)); | |
524 | continue; | |
525 | } | |
526 | ||
527 | if(isSignalJets) | |
528 | { | |
529 | if (!IsSignalJetInAcceptance(jet)) continue; | |
530 | } | |
531 | else | |
532 | { | |
533 | if (!IsBackgroundJetInAcceptance(jet)) continue; | |
534 | } | |
535 | ||
536 | if (jet->Pt() > maxJetPts[0]) | |
537 | { | |
538 | maxJetPts[1] = maxJetPts[0]; | |
539 | jetIDArray[1] = jetIDArray[0]; | |
540 | maxJetPts[0] = jet->Pt(); | |
541 | jetIDArray[0] = i; | |
542 | } | |
543 | else if (jet->Pt() > maxJetPts[1]) | |
544 | { | |
545 | maxJetPts[1] = jet->Pt(); | |
546 | jetIDArray[1] = i; | |
547 | } | |
548 | jetCountAccepted++; | |
549 | } | |
550 | return jetCountAccepted; | |
551 | } | |
552 | //________________________________________________________________________ | |
553 | Double_t AliAnalysisTaskChargedJetsPA::GetJetBackgroundCorrFactor(Double_t eta, Double_t background) | |
554 | { | |
555 | Double_t tmpCorrFactor = 1.0; | |
556 | ||
557 | if(fJetBgrdCorrectionFactors) | |
558 | tmpCorrFactor = fJetBgrdCorrectionFactors->GetBinContent | |
559 | ( | |
560 | fJetBgrdCorrectionFactors->GetXaxis()->FindBin(eta), | |
561 | fJetBgrdCorrectionFactors->GetYaxis()->FindBin(background) | |
562 | ); | |
563 | ||
564 | return tmpCorrFactor; | |
565 | } | |
566 | //________________________________________________________________________ | |
567 | Double_t AliAnalysisTaskChargedJetsPA::GetCorrectedJetPt(AliEmcalJet* jet, Double_t background, Bool_t useEtaCorrection) | |
568 | { | |
569 | #ifdef DEBUGMODE | |
efb9b161 | 570 | AliInfo("Getting corrected jet spectra."); |
8628b70c | 571 | #endif |
572 | ||
573 | if(!jet) | |
574 | { | |
575 | AliError("Jet pointer passed to GetCorrectedJet() not valid!"); | |
576 | return -1.0; | |
577 | } | |
578 | ||
579 | Double_t correctedPt = -1.0; | |
580 | ||
581 | // Get correction factor from saved histo or similar in dependence of jet eta and background density | |
582 | Double_t corrfactor = 1.0; | |
583 | if(useEtaCorrection) | |
584 | { | |
585 | corrfactor = GetJetBackgroundCorrFactor(jet->Eta(), background); | |
586 | } | |
587 | ||
588 | // Get Eta corrected background | |
589 | Double_t tmpCorrectedBackground = background * corrfactor; | |
590 | ||
591 | // Subtract background | |
592 | correctedPt = jet->Pt() - tmpCorrectedBackground * jet->Area(); | |
593 | ||
594 | #ifdef DEBUGMODE | |
efb9b161 | 595 | AliInfo("Got corrected jet spectra."); |
8628b70c | 596 | #endif |
597 | ||
598 | return correctedPt; | |
599 | } | |
600 | ||
601 | ||
602 | //________________________________________________________________________ | |
603 | void AliAnalysisTaskChargedJetsPA::GetDeltaPt(Double_t& deltaPt, Double_t rho, Int_t numberExcludeLeadingJets, Int_t usedEtaBin, Bool_t useEtaCorrection) | |
604 | { | |
605 | #ifdef DEBUGMODE | |
efb9b161 | 606 | AliInfo("Getting Delta Pt."); |
8628b70c | 607 | #endif |
608 | ||
609 | // Define the tmp delta pt | |
610 | deltaPt = -10000.0; | |
611 | ||
612 | // Exclude UP TO numberExcludeLeadingJets | |
613 | if (fNumberSignalJets < 2) | |
614 | numberExcludeLeadingJets = fNumberSignalJets; | |
615 | ||
616 | Double_t etaMin, etaMax; | |
617 | if (usedEtaBin==-1) | |
618 | { | |
619 | etaMin = -(fTrackEtaWindow-fRandConeRadius); | |
620 | etaMax = +(fTrackEtaWindow-fRandConeRadius); | |
621 | } | |
622 | else | |
623 | { | |
624 | etaMin = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * usedEtaBin; | |
625 | etaMax = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * (usedEtaBin+1); | |
626 | } | |
627 | ||
628 | ||
629 | Double_t tmpRandConeEta = 0.0; | |
630 | Double_t tmpRandConePhi = 0.0; | |
631 | ||
632 | Bool_t coneValid = kTRUE; | |
633 | ||
634 | ||
635 | tmpRandConeEta = etaMin + fRandom->Rndm()*(etaMax-etaMin); | |
636 | tmpRandConePhi = fRandom->Rndm()*TMath::TwoPi(); | |
637 | ||
638 | // Apply eta correction on demand | |
639 | if(useEtaCorrection) | |
640 | rho = GetJetBackgroundCorrFactor(tmpRandConeEta, rho)*rho; | |
641 | ||
642 | // Go through all excluded leading jets and check if there's an overlap | |
643 | for(Int_t j=0;j<numberExcludeLeadingJets;j++) | |
644 | { | |
645 | AliEmcalJet* tmpJet = NULL; | |
646 | ||
647 | if (j==0) | |
648 | tmpJet = fFirstLeadingJet; | |
649 | else if (j==1) | |
650 | tmpJet = fSecondLeadingJet; | |
651 | else | |
652 | AliFatal("Trying to exclude more than 2 jets for delta pt -- not implemented."); | |
653 | ||
654 | Double_t excludedJetPhi = tmpJet->Phi(); | |
655 | Double_t excludedJetEta = tmpJet->Eta(); | |
656 | Double_t tmpDeltaPhi = GetDeltaPhi(tmpRandConePhi, excludedJetPhi); | |
657 | ||
658 | // Check, if cone has overlap with jet | |
659 | if ( tmpDeltaPhi*tmpDeltaPhi + TMath::Abs(tmpRandConeEta-excludedJetEta)*TMath::Abs(tmpRandConeEta-excludedJetEta) <= fRandConeRadius*fRandConeRadius) | |
660 | { | |
661 | coneValid = kFALSE; | |
662 | break; | |
663 | } | |
664 | } | |
665 | ||
666 | // Get the cones' pt and calculate delta pt | |
667 | if (coneValid) | |
668 | deltaPt = GetConePt(tmpRandConeEta,tmpRandConePhi,fRandConeRadius) - (rho*fRandConeRadius*fRandConeRadius*TMath::Pi()); | |
669 | #ifdef DEBUGMODE | |
efb9b161 | 670 | AliInfo("Got Delta Pt."); |
8628b70c | 671 | #endif |
672 | } | |
673 | ||
674 | //________________________________________________________________________ | |
675 | void AliAnalysisTaskChargedJetsPA::GetKTBackgroundDensity(Int_t numberExcludeLeadingJets, Double_t& rhoMedian, Double_t& areaMean, Double_t etaMin, Double_t etaMax) | |
676 | { | |
677 | #ifdef DEBUGMODE | |
efb9b161 | 678 | AliInfo("Getting KT background density."); |
8628b70c | 679 | #endif |
680 | ||
681 | // static declaration. Advantage: more speed. Disadvantage: Problematic for events with more than 1024 jets :) | |
682 | static Double_t tmpRhos[1024]; | |
683 | static Double_t tmpAreas[1024]; | |
684 | Int_t maxJetIds[] = {-1, -1}; // Indices for excludes jets (up to two) | |
685 | ||
686 | // Setting invalid values | |
687 | rhoMedian = -1.0; | |
688 | areaMean= -1.0; | |
689 | ||
690 | // Exclude UP TO numberExcludeLeadingJets | |
691 | Int_t numberBgrdJets = GetLeadingJets(fBackgroundJetArray, &maxJetIds[0], kFALSE); | |
692 | if (numberBgrdJets < numberExcludeLeadingJets) | |
693 | numberExcludeLeadingJets = numberBgrdJets; | |
694 | if ((etaMin == 0) && (etaMax == 0)) | |
695 | { | |
696 | etaMin = -fBackgroundJetEtaWindow; | |
697 | etaMax = +fBackgroundJetEtaWindow; | |
698 | } | |
699 | ||
700 | Int_t jetCountAccepted = 0; | |
701 | Int_t jetCount = fBackgroundJetArray->GetEntries(); | |
702 | ||
703 | for (Int_t i = 0; i < jetCount; i++) | |
704 | { | |
705 | AliEmcalJet* jet = static_cast<AliEmcalJet*>(fBackgroundJetArray->At(i)); | |
706 | if (!jet) | |
707 | { | |
708 | AliError(Form("%s: Could not receive jet %d", GetName(), i)); | |
709 | continue; | |
710 | } | |
711 | ||
712 | // exclude leading jets | |
713 | if (numberExcludeLeadingJets > 0) | |
714 | if (i == maxJetIds[0]) | |
715 | continue; | |
716 | if (numberExcludeLeadingJets > 1) | |
717 | if (i == maxJetIds[1]) | |
718 | continue; | |
719 | ||
720 | ||
721 | ||
722 | if (!IsBackgroundJetInAcceptance(jet)) | |
723 | continue; | |
724 | if (!((jet->Eta() >= etaMin) && (jet->Eta() < etaMax))) | |
725 | continue; | |
726 | ||
727 | ||
728 | tmpRhos[jetCountAccepted] = jet->Pt() / jet->Area(); | |
729 | tmpAreas[jetCountAccepted] = jet->Area(); | |
730 | jetCountAccepted++; | |
731 | } | |
732 | ||
733 | if (jetCountAccepted > 0) | |
734 | { | |
735 | rhoMedian = TMath::Median(jetCountAccepted, tmpRhos); | |
736 | areaMean = TMath::Mean(jetCountAccepted, tmpAreas); | |
737 | } | |
738 | #ifdef DEBUGMODE | |
efb9b161 | 739 | AliInfo("Got KT background density."); |
8628b70c | 740 | #endif |
741 | } | |
742 | ||
743 | //________________________________________________________________________ | |
744 | void AliAnalysisTaskChargedJetsPA::GetKTBackground2Density(Int_t numberExcludeLeadingJets, Double_t& rhoMedian, Double_t& areaMean, Double_t etaMin, Double_t etaMax) | |
745 | { | |
746 | #ifdef DEBUGMODE | |
efb9b161 | 747 | AliInfo("Getting KT background 2 density."); |
8628b70c | 748 | #endif |
749 | ||
750 | // static declaration. Advantage: more speed. Disadvantage: Problematic for events with more than 1024 jets :) | |
751 | static Double_t tmpRhos[1024]; | |
752 | static Double_t tmpAreas[1024]; | |
753 | ||
754 | // Setting invalid values | |
755 | rhoMedian = -1.0; | |
756 | areaMean= -1.0; | |
757 | ||
758 | if ((etaMin == 0) && (etaMax == 0)) | |
759 | { | |
760 | etaMin = -fBackgroundJetEtaWindow; | |
761 | etaMax = +fBackgroundJetEtaWindow; | |
762 | } | |
763 | ||
764 | Int_t jetCountAccepted = 0; | |
765 | Int_t jetCount = fBackgroundJetArray->GetEntries(); | |
766 | ||
767 | for (Int_t i = 0; i < jetCount; i++) | |
768 | { | |
769 | Bool_t jetValid = kTRUE; | |
770 | AliEmcalJet* jet = static_cast<AliEmcalJet*>(fBackgroundJetArray->At(i)); | |
771 | if (!jet) | |
772 | { | |
773 | AliError(Form("%s: Could not receive jet %d", GetName(), i)); | |
774 | continue; | |
775 | } | |
776 | ||
777 | if (!((jet->Eta() >= etaMin) && (jet->Eta() < etaMax))) | |
778 | continue; | |
779 | if (!IsBackgroundJetInAcceptance(jet)) | |
780 | continue; | |
781 | ||
782 | // Look, if theres an overlap of leading jets/ kT jet. If yes, exclude this jet | |
783 | for(Int_t j=0;j<numberExcludeLeadingJets;j++) | |
784 | { | |
785 | AliEmcalJet* tmpLeadingJet = NULL; | |
786 | ||
787 | if (j==0) | |
788 | tmpLeadingJet = fFirstLeadingJet; | |
789 | else if (j==1) | |
790 | tmpLeadingJet = fSecondLeadingJet; | |
791 | else | |
792 | AliFatal("Trying to exclude more than 2 jets in KT background 2 -- not implemented."); | |
793 | ||
794 | if (tmpLeadingJet) | |
795 | { | |
796 | Double_t tmpDeltaPhi = GetDeltaPhi(jet->Phi(), tmpLeadingJet->Phi()); | |
797 | if ( tmpDeltaPhi*tmpDeltaPhi + TMath::Abs(jet->Eta()-tmpLeadingJet->Eta())*TMath::Abs(jet->Eta()-tmpLeadingJet->Eta()) <= fBackgroundJetRadius*fBackgroundJetRadius) | |
798 | { | |
799 | jetValid = kFALSE; | |
800 | break; | |
801 | } | |
802 | } | |
803 | } | |
804 | ||
805 | if(!jetValid) | |
806 | continue; | |
807 | ||
808 | tmpRhos[jetCountAccepted] = jet->Pt() / jet->Area(); | |
809 | tmpAreas[jetCountAccepted] = jet->Area(); | |
810 | jetCountAccepted++; | |
811 | } | |
812 | ||
813 | if (jetCountAccepted > 0) | |
814 | { | |
815 | rhoMedian = TMath::Median(jetCountAccepted, tmpRhos); | |
816 | areaMean = TMath::Mean(jetCountAccepted, tmpAreas); | |
817 | } | |
818 | #ifdef DEBUGMODE | |
efb9b161 | 819 | AliInfo("Got KT background 2 density."); |
8628b70c | 820 | #endif |
821 | } | |
822 | ||
823 | ||
824 | //________________________________________________________________________ | |
825 | Int_t AliAnalysisTaskChargedJetsPA::GetRCBackgroundDensity(Int_t numberExcludeLeadingJets, Double_t& rhoMean, Double_t& rhoMedian, Double_t etaMin, Double_t etaMax, Int_t numberRandCones) | |
826 | { | |
827 | #ifdef DEBUGMODE | |
efb9b161 | 828 | AliInfo("Getting RC background density."); |
8628b70c | 829 | #endif |
830 | ||
831 | if(numberRandCones == 0) | |
832 | numberRandCones = fNumberRandCones; | |
833 | ||
834 | std::vector<AliEmcalJet> tmpCones(numberRandCones); | |
835 | ||
836 | // Setting invalid values | |
837 | rhoMean = -1.0; | |
838 | rhoMedian = -1.0; | |
839 | ||
840 | // Exclude UP TO numberExcludeLeadingJets | |
841 | if (fNumberSignalJets < 2) | |
842 | numberExcludeLeadingJets = fNumberSignalJets; | |
843 | ||
844 | // Search given amount of RCs | |
845 | Int_t numAcceptedRCs = 0; | |
846 | for(Int_t i=0;i<numberRandCones;i++) | |
847 | { | |
848 | Double_t tmpRandConeEta = 0.0; | |
849 | Double_t tmpRandConePhi = 0.0; | |
850 | Double_t excludedJetEta = 0.0; | |
851 | Double_t excludedJetPhi = 0.0; | |
852 | ||
853 | // Search random cone in acceptance with no overlap with already excluded jets (leading jets and random cones) | |
854 | Bool_t coneValid = kTRUE; | |
855 | ||
856 | // Set the random cone position | |
857 | if ((etaMin == 0) && (etaMax == 0)) | |
858 | tmpRandConeEta = (fTrackEtaWindow-fRandConeRadius)*(2.0*fRandom->Rndm()-1.0); // full RC is in acceptance | |
859 | else | |
860 | tmpRandConeEta = etaMin + fRandom->Rndm()*(etaMax-etaMin); | |
861 | ||
862 | tmpRandConePhi = fRandom->Rndm()*TMath::TwoPi(); | |
863 | ||
864 | // Go through all excluded leading jets and check if there's an overlap | |
865 | ||
866 | for(Int_t j=0;j<numberExcludeLeadingJets;j++) | |
867 | { | |
868 | AliEmcalJet* tmpJet = NULL; | |
869 | ||
870 | if (j==0) | |
871 | tmpJet = fFirstLeadingJet; | |
872 | else if (j==1) | |
873 | tmpJet = fSecondLeadingJet; | |
874 | else | |
875 | AliFatal("Trying to exclude more than 2 jets in RC background -- not implemented."); | |
876 | ||
877 | excludedJetPhi = tmpJet->Phi(); | |
878 | excludedJetEta = tmpJet->Eta(); | |
879 | Double_t tmpDeltaPhi = GetDeltaPhi(tmpRandConePhi, excludedJetPhi); | |
880 | ||
881 | if ( tmpDeltaPhi*tmpDeltaPhi + TMath::Abs(tmpRandConeEta-excludedJetEta)*TMath::Abs(tmpRandConeEta-excludedJetEta) <= fRandConeRadius*fRandConeRadius) | |
882 | { | |
883 | coneValid = kFALSE; | |
884 | break; | |
885 | } | |
886 | } | |
887 | ||
888 | // RC is accepted, so save it | |
889 | if(coneValid) | |
890 | { | |
891 | AliEmcalJet tmpJet(GetConePt(tmpRandConeEta, tmpRandConePhi, fRandConeRadius), tmpRandConeEta, tmpRandConePhi, 0.0); | |
892 | tmpCones[numAcceptedRCs] = tmpJet; | |
893 | numAcceptedRCs++; | |
894 | } | |
895 | } | |
896 | ||
897 | // Calculate Rho and the mean from the RCs (no excluded jets are considered!) | |
898 | if(numAcceptedRCs > 0) | |
899 | { | |
900 | std::vector<Double_t> tmpRho(numAcceptedRCs); | |
901 | for (Int_t i=0; i<numAcceptedRCs;i++) | |
902 | tmpRho[i] = tmpCones[i].Pt()/(fRandConeRadius*fRandConeRadius*TMath::Pi()); | |
903 | ||
904 | rhoMean = TMath::Mean(tmpRho.begin(), tmpRho.end()); | |
905 | rhoMedian = 0.0; // NOT IMPLEMENTED because TMath::Median is not working with iterators | |
906 | } | |
907 | ||
908 | #ifdef DEBUGMODE | |
efb9b161 | 909 | AliInfo("Got RC background density."); |
8628b70c | 910 | #endif |
911 | return numAcceptedRCs; | |
912 | } | |
913 | ||
914 | //________________________________________________________________________ | |
915 | void AliAnalysisTaskChargedJetsPA::GetTrackBackgroundDensity(Int_t numberExcludeLeadingJets, Double_t& rhoMean, Double_t& area, Double_t etaMin, Double_t etaMax) | |
916 | { | |
917 | #ifdef DEBUGMODE | |
efb9b161 | 918 | AliInfo("Getting track background density."); |
8628b70c | 919 | #endif |
920 | ||
921 | Double_t summedTracksPt = 0.0; | |
922 | ||
923 | if ((etaMin == 0) && (etaMax == 0)) | |
924 | { | |
925 | etaMin = -fTrackEtaWindow; | |
926 | etaMax = +fTrackEtaWindow; | |
927 | } | |
928 | ||
929 | // Setting invalid values | |
930 | rhoMean = -1.0; | |
931 | area = -1.0; | |
932 | // Exclude UP TO numberExcludeLeadingJets | |
933 | if (fNumberSignalJets < 2) | |
934 | numberExcludeLeadingJets = fNumberSignalJets; | |
935 | ||
936 | ||
937 | Int_t trackCount = fTrackArray->GetEntries(); | |
938 | Int_t trackCountAccepted = 0; | |
939 | for (Int_t i = 0; i < trackCount; i++) | |
940 | { | |
941 | Bool_t trackValid = kTRUE; | |
942 | AliVTrack* tmpTrack = static_cast<AliVTrack*>(fTrackArray->At(i)); | |
943 | if (IsTrackInAcceptance(tmpTrack)) | |
944 | if ((tmpTrack->Eta() >= etaMin) && (tmpTrack->Eta() < etaMax)) | |
945 | { | |
946 | for (Int_t j = 0; j < numberExcludeLeadingJets; j++) | |
947 | { | |
948 | AliEmcalJet* tmpJet = NULL; | |
949 | if (j==0) | |
950 | tmpJet = fFirstLeadingJet; | |
951 | else if (j==1) | |
952 | tmpJet = fSecondLeadingJet; | |
953 | else | |
954 | AliFatal("Trying to exclude more than 2 jets in track background -- not implemented."); | |
955 | ||
956 | if (IsTrackInCone(tmpTrack, tmpJet->Eta(), tmpJet->Phi(), fTrackBackgroundConeRadius)) | |
957 | { | |
958 | trackValid = kFALSE; | |
959 | break; | |
960 | } | |
961 | } | |
962 | if (trackValid) | |
963 | { | |
964 | // Add track pt to array | |
965 | summedTracksPt = summedTracksPt + tmpTrack->Pt(); | |
966 | trackCountAccepted++; | |
967 | } | |
968 | } | |
969 | } | |
970 | ||
971 | if (trackCountAccepted > 0) | |
972 | { | |
973 | Double_t tmpArea = 0.0; | |
974 | ||
975 | tmpArea = (2.0*fTrackEtaWindow) * TMath::TwoPi() * (etaMax-etaMin)/(2.0*fTrackEtaWindow); // area of the used eta strip | |
976 | ||
977 | // Now: exclude the part of the leading jet that is in the strip | |
978 | if (numberExcludeLeadingJets == 2) | |
979 | tmpArea = tmpArea*(1.0-MCGetOverlapCircleRectancle(fFirstLeadingJet->Eta(), fFirstLeadingJet->Phi(), fTrackBackgroundConeRadius, etaMin, etaMax, 0., TMath::TwoPi()) -MCGetOverlapCircleRectancle(fSecondLeadingJet->Eta(), fSecondLeadingJet->Phi(), fTrackBackgroundConeRadius, etaMin, etaMax, 0., TMath::TwoPi())); | |
980 | else if (numberExcludeLeadingJets == 1) | |
981 | tmpArea = tmpArea*(1.0-MCGetOverlapCircleRectancle(fFirstLeadingJet->Eta(), fFirstLeadingJet->Phi(), fTrackBackgroundConeRadius, etaMin, etaMax, 0., TMath::TwoPi())); | |
982 | ||
983 | rhoMean = summedTracksPt/tmpArea; | |
984 | area = tmpArea; | |
985 | } | |
986 | ||
987 | #ifdef DEBUGMODE | |
efb9b161 | 988 | AliInfo("Got track background density."); |
8628b70c | 989 | #endif |
990 | } | |
991 | ||
992 | //________________________________________________________________________ | |
993 | void AliAnalysisTaskChargedJetsPA::GetTrackBackgroundDensity(Int_t numberExcludeLeadingJets, Double_t& rhoMean, Double_t& area, AliEmcalJet* excludeJet1, AliEmcalJet* excludeJet2, Bool_t doSearchPerpendicular) | |
994 | { | |
995 | #ifdef DEBUGMODE | |
efb9b161 | 996 | AliInfo("Getting track background density."); |
8628b70c | 997 | #endif |
998 | ||
999 | // Setting invalid values | |
1000 | Double_t summedTracksPt = 0.0; | |
1001 | rhoMean = -1.0; | |
1002 | area = -1.0; | |
1003 | ||
1004 | Double_t tmpRadius = 0.0; | |
1005 | if (doSearchPerpendicular) | |
1006 | tmpRadius = 0.5*TMath::Pi(); // exclude 90 degrees around jets | |
1007 | else | |
1008 | tmpRadius = fSignalJetRadius; | |
1009 | ||
1010 | numberExcludeLeadingJets = 2; // dijet is excluded here in any case | |
1011 | ||
1012 | ||
1013 | ||
1014 | if (!fTrackArray || !fJetArray) | |
1015 | { | |
1016 | AliError("Could not get the track/jet array to calculate track rho!"); | |
1017 | return; | |
1018 | } | |
1019 | ||
1020 | Int_t trackCount = fTrackArray->GetEntries(); | |
1021 | Int_t trackCountAccepted = 0; | |
1022 | for (Int_t i = 0; i < trackCount; i++) | |
1023 | { | |
1024 | AliVTrack* tmpTrack = static_cast<AliVTrack*>(fTrackArray->At(i)); | |
1025 | if (IsTrackInAcceptance(tmpTrack)) | |
1026 | { | |
1027 | if (IsTrackInCone(tmpTrack, excludeJet1->Eta(), excludeJet1->Phi(), tmpRadius)) | |
1028 | continue; | |
1029 | ||
1030 | if (numberExcludeLeadingJets > 1) | |
1031 | if (IsTrackInCone(tmpTrack, excludeJet2->Eta(), excludeJet2->Phi(), tmpRadius)) | |
1032 | continue; | |
1033 | ||
1034 | // Add track pt to array | |
1035 | summedTracksPt = summedTracksPt + tmpTrack->Pt(); | |
1036 | trackCountAccepted++; | |
1037 | } | |
1038 | } | |
1039 | ||
1040 | if (trackCountAccepted > 0) | |
1041 | { | |
1042 | Double_t tmpArea = 2.0*fTrackEtaWindow*TMath::TwoPi() - 2*(tmpRadius*tmpRadius * TMath::Pi()); //TPC area - excluding jet area | |
1043 | rhoMean = summedTracksPt/tmpArea; | |
1044 | area = tmpArea; | |
1045 | } | |
1046 | ||
1047 | #ifdef DEBUGMODE | |
efb9b161 | 1048 | AliInfo("Got track background density."); |
8628b70c | 1049 | #endif |
1050 | } | |
1051 | ||
1052 | //________________________________________________________________________ | |
1053 | void AliAnalysisTaskChargedJetsPA::Calculate(AliVEvent* event) | |
1054 | { | |
1055 | #ifdef DEBUGMODE | |
efb9b161 | 1056 | AliInfo("Starting Calculate()."); |
8628b70c | 1057 | #endif |
1058 | ////////////////////// NOTE: initialization & casting | |
1059 | ||
1060 | if (!event) { | |
1061 | AliError("??? Event pointer == 0 ???"); | |
1062 | return; | |
1063 | } | |
1064 | ||
1065 | if (!fInitialized) | |
1066 | ExecOnce(); // Get tracks, jets, background from arrays if not already given + Init Histos | |
1067 | ||
1068 | // Additional cuts | |
1069 | FillHistogram("hNumberEvents", 0.5); // number of events before manual cuts | |
1070 | ||
efb9b161 | 1071 | if ((event->GetPrimaryVertex()->GetNContributors() < 1) || (TMath::Abs(event->GetPrimaryVertex()->GetZ()) > fVertexWindow)) |
8628b70c | 1072 | return; |
1073 | ||
1074 | if (TMath::Sqrt(event->GetPrimaryVertex()->GetX()*event->GetPrimaryVertex()->GetX() + event->GetPrimaryVertex()->GetY()*event->GetPrimaryVertex()->GetY()) > fVertexMaxR) | |
1075 | return; | |
1076 | ||
1077 | FillHistogram("hNumberEvents", 1.5); // number of events after manual cuts | |
1078 | ||
1079 | #ifdef DEBUGMODE | |
efb9b161 | 1080 | AliInfo("Calculate()::Init done."); |
8628b70c | 1081 | #endif |
1082 | ||
1083 | ////////////////////// NOTE: Get Centrality, (Leading)Signal jets and Background | |
1084 | ||
1085 | // Get centrality (V0A) | |
1086 | AliCentrality* tmpCentrality = NULL; | |
1087 | tmpCentrality = event->GetCentrality(); | |
1088 | Double_t centralityPercentile = 0.0; | |
1089 | if (tmpCentrality != NULL) | |
1090 | centralityPercentile = tmpCentrality->GetCentralityPercentile("V0A"); | |
1091 | ||
1092 | // Get jets | |
1093 | if (fAnalyzeBackground || fAnalyzeJets) | |
1094 | GetSignalJets(); | |
1095 | ||
1096 | // Get background | |
1097 | ||
1098 | // Background with N excluded leading jets | |
1099 | std::vector<Double_t> ktBackgroundRhoMedian(fBackgroundEtaBins+1); | |
1100 | std::vector<Double_t> ktBackgroundAreaMean(fBackgroundEtaBins+1); | |
1101 | std::vector<Double_t> ktBackground2RhoMedian(fBackgroundEtaBins+1); | |
1102 | std::vector<Double_t> ktBackground2AreaMean(fBackgroundEtaBins+1); | |
1103 | std::vector<Double_t> rcBackgroundRhoMean(fBackgroundEtaBins+1); | |
1104 | std::vector<Double_t> rcBackgroundRhoMedian(fBackgroundEtaBins+1); | |
1105 | std::vector<Double_t> trackBackgroundRhoMean(fBackgroundEtaBins+1); | |
1106 | std::vector<Double_t> trackBackgroundArea(fBackgroundEtaBins+1); | |
1107 | Double_t dijetBackground = -1.0; // calculation only done in events with dijets I! | |
1108 | Double_t dijetBackgroundPerpendicular = -1.0; // calculation only done in events with dijets I! | |
1109 | if (fAnalyzeBackground) | |
1110 | { | |
1111 | ||
1112 | // Get backgrounds in bins of eta | |
1113 | for(Int_t i = 0; i<fBackgroundEtaBins; i++) | |
1114 | { | |
1115 | // scheme: etaMin = RangeMin + l*binN; etaMax = RangeMin + l*(binN+1) | |
1116 | ||
1117 | Double_t etaMin = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * i; | |
1118 | Double_t etaMax = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * (i+1); | |
1119 | GetRCBackgroundDensity (fNumberExcludedJets, rcBackgroundRhoMean[i],rcBackgroundRhoMedian[i], etaMin, etaMax); | |
1120 | GetTrackBackgroundDensity (fNumberExcludedJets, trackBackgroundRhoMean[i], trackBackgroundArea[i], etaMin, etaMax); | |
1121 | GetKTBackgroundDensity (fNumberExcludedJets, ktBackgroundRhoMedian[i], ktBackgroundAreaMean[i], etaMin, etaMax); | |
1122 | GetKTBackground2Density (fNumberExcludedJets, ktBackground2RhoMedian[i], ktBackground2AreaMean[i], etaMin, etaMax); | |
1123 | ||
1124 | } | |
1125 | Int_t tmpNRCs = 0; | |
1126 | ||
1127 | // All eta in one bin | |
1128 | tmpNRCs = GetRCBackgroundDensity (fNumberExcludedJets, rcBackgroundRhoMean[fBackgroundEtaBins], rcBackgroundRhoMedian[fBackgroundEtaBins]); | |
1129 | FillHistogram("hAccConesInRCBackground", tmpNRCs); | |
1130 | GetTrackBackgroundDensity (fNumberExcludedJets, trackBackgroundRhoMean[fBackgroundEtaBins], trackBackgroundArea[fBackgroundEtaBins]); | |
1131 | GetKTBackgroundDensity (fNumberExcludedJets, ktBackgroundRhoMedian[fBackgroundEtaBins], ktBackgroundAreaMean[fBackgroundEtaBins]); | |
1132 | GetKTBackground2Density (fNumberExcludedJets, ktBackground2RhoMedian[fBackgroundEtaBins], ktBackground2AreaMean[fBackgroundEtaBins]); | |
1133 | ||
1134 | } | |
1135 | ||
1136 | #ifdef DEBUGMODE | |
efb9b161 | 1137 | AliInfo("Calculate()::Centrality&SignalJets&Background-Calculation done."); |
8628b70c | 1138 | #endif |
1139 | ////////////////////// NOTE: Pythia histograms | |
1140 | if(fAnalyzePythia) | |
1141 | { | |
1142 | FillHistogram("hPythiaPtHard", GetPtHard()); | |
7b4822c6 | 1143 | FillHistogram("hPythiaNTrials", GetPtHardBin()-0.1, fTrials); |
1144 | FillHistogram("hPythiaXSection", GetPtHardBin()-0.1, fCrossSection); | |
8628b70c | 1145 | |
1146 | #ifdef DEBUGMODE | |
efb9b161 | 1147 | AliInfo("Calculate()::Pythia done."); |
8628b70c | 1148 | #endif |
1149 | } | |
1150 | ||
1151 | ////////////////////// NOTE: Track & QA histograms | |
1152 | ||
1153 | if (fAnalyzeQA) | |
1154 | { | |
1155 | FillHistogram("hVertexZ",event->GetPrimaryVertex()->GetZ()); | |
1156 | FillHistogram("hVertexR",TMath::Sqrt(event->GetPrimaryVertex()->GetX()*event->GetPrimaryVertex()->GetX() + event->GetPrimaryVertex()->GetY()*event->GetPrimaryVertex()->GetY())); | |
1157 | FillHistogram("hCentrality",centralityPercentile); | |
1158 | ||
1159 | Int_t trackCountAcc = 0; | |
1160 | Int_t nTracks = fTrackArray->GetEntries(); | |
1161 | for (Int_t i = 0; i < nTracks; i++) | |
1162 | { | |
1163 | AliVTrack* track = static_cast<AliVTrack*>(fTrackArray->At(i)); | |
1164 | if (IsTrackInAcceptance(track)) | |
1165 | { | |
1166 | FillHistogram("hTrackPhiEta", track->Phi(),track->Eta(), 1); | |
1167 | FillHistogram("hTrackPt", track->Pt()); | |
1168 | FillHistogram("hTrackEta", track->Eta()); | |
1169 | FillHistogram("hTrackCharge", track->Charge()); | |
1170 | trackCountAcc++; | |
1171 | } | |
1172 | } | |
1173 | FillHistogram("hTrackCountAcc", trackCountAcc, centralityPercentile); | |
1174 | ||
1175 | if (fHasClusters) | |
1176 | { | |
1177 | Int_t clusterCountAcc = 0; | |
1178 | Int_t nClusters = fClusterArray->GetEntries(); | |
1179 | for (Int_t i = 0; i < nClusters; i++) | |
1180 | { | |
1181 | AliVCluster* cluster = static_cast<AliVCluster*>(fClusterArray->At(i)); | |
1182 | if (IsClusterInAcceptance(cluster)) | |
1183 | { | |
1184 | FillHistogram("hClusterE", cluster->E()); | |
1185 | clusterCountAcc++; | |
1186 | } | |
1187 | } | |
1188 | FillHistogram("hClusterCountAcc", clusterCountAcc, centralityPercentile); | |
1189 | } | |
1190 | } | |
1191 | #ifdef DEBUGMODE | |
efb9b161 | 1192 | AliInfo("Calculate()::QA done."); |
8628b70c | 1193 | #endif |
1194 | ||
1195 | ////////////////////// NOTE: Jet analysis and calculations | |
1196 | ||
1197 | if (fAnalyzeJets) | |
1198 | { | |
1199 | FillHistogram("hJetCountAll", fJetArray->GetEntries()); | |
1200 | FillHistogram("hJetCountAccepted", fNumberSignalJets); | |
1201 | if (fFirstLeadingJet) | |
1202 | FillHistogram("hLeadingJetPt", fFirstLeadingJet->Pt()); | |
1203 | if (fSecondLeadingJet) | |
1204 | FillHistogram("hSecondLeadingJetPt", fSecondLeadingJet->Pt()); | |
1205 | ||
1206 | // ### Dijets I ### | |
1207 | if(fNumberSignalJets >= 2) | |
1208 | { | |
1209 | FillHistogram("hLeadingJetDeltaPhi", GetDeltaPhi(fFirstLeadingJet->Phi(), fSecondLeadingJet->Phi())); | |
1210 | FillHistogram("hLeadingJetDeltaPhiPt", GetDeltaPhi(fFirstLeadingJet->Phi(), fSecondLeadingJet->Phi()), fFirstLeadingJet->Pt()); | |
1211 | ||
1212 | if (IsDijet(fFirstLeadingJet, fSecondLeadingJet)) // Gettin' the money | |
1213 | { | |
1214 | FillHistogram("hDijetConstituentsPt", fFirstLeadingJet->Pt()); FillHistogram("hDijetConstituentsPt", fSecondLeadingJet->Pt()); | |
1215 | FillHistogram("hDijetLeadingJetPt", fFirstLeadingJet->Pt()); | |
1216 | FillHistogram("hDijetPtCorrelation", fFirstLeadingJet->Pt(), fSecondLeadingJet->Pt()); | |
1217 | Double_t dummyArea = 0; | |
1218 | GetTrackBackgroundDensity (2, dijetBackground, dummyArea, fFirstLeadingJet, fSecondLeadingJet, kFALSE); | |
1219 | GetTrackBackgroundDensity (2, dijetBackgroundPerpendicular, dummyArea, fFirstLeadingJet, fSecondLeadingJet, kTRUE); | |
1220 | } | |
1221 | } | |
1222 | ||
1223 | // SIGNAL JET ANALYSIS | |
1224 | for (Int_t i = 0; i<fNumberSignalJets; i++) | |
1225 | { | |
1226 | AliEmcalJet* tmpJet = fSignalJets[i]; | |
1227 | ||
1228 | FillHistogram("hJetPtArea", tmpJet->Pt(), tmpJet->Area()); | |
1229 | FillHistogram("hJetPtEta", tmpJet->Pt(), tmpJet->Eta()); | |
1230 | FillHistogram("hJetPtPhi", tmpJet->Pt(), tmpJet->Phi()); | |
1231 | FillHistogram("hJetPtCentrality", tmpJet->Pt(), centralityPercentile); | |
1232 | FillHistogram("hJetArea", tmpJet->Area()); | |
1233 | FillHistogram("hJetPt", tmpJet->Pt()); | |
1234 | FillHistogram("hJetPhiEta", tmpJet->Phi(),tmpJet->Eta()); | |
1235 | ||
1236 | // Background subtracted spectra | |
1237 | ||
1238 | FillHistogram("hJetPtBgrdSubtractedRC", GetCorrectedJetPt(tmpJet, rcBackgroundRhoMean[fBackgroundEtaBins])); | |
1239 | FillHistogram("hJetPtBgrdSubtractedKT", GetCorrectedJetPt(tmpJet, ktBackgroundRhoMedian[fBackgroundEtaBins], kTRUE)); | |
1240 | FillHistogram("hJetPtBgrdSubtractedKT2", GetCorrectedJetPt(tmpJet, ktBackground2RhoMedian[fBackgroundEtaBins], kTRUE)); | |
1241 | FillHistogram("hJetPtBgrdSubtractedKTNoEtaCorr", GetCorrectedJetPt(tmpJet, ktBackgroundRhoMedian[fBackgroundEtaBins])); | |
1242 | FillHistogram("hJetPtBgrdSubtractedKT2NoEtaCorr", GetCorrectedJetPt(tmpJet, ktBackground2RhoMedian[fBackgroundEtaBins])); | |
1243 | FillHistogram("hJetPtBgrdSubtractedTR", GetCorrectedJetPt(tmpJet, trackBackgroundRhoMean[fBackgroundEtaBins])); | |
1244 | ||
1245 | ||
1246 | Double_t tmpCorrFactor = GetJetBackgroundCorrFactor(tmpJet->Eta(), ktBackgroundRhoMedian[fBackgroundEtaBins]); | |
1247 | FillHistogram("hAppliedEtaCorrectionFactor", tmpCorrFactor); | |
1248 | tmpCorrFactor = GetJetBackgroundCorrFactor(tmpJet->Eta(), ktBackground2RhoMedian[fBackgroundEtaBins]); | |
1249 | FillHistogram("hAppliedEtaCorrectionFactor2", tmpCorrFactor); | |
1250 | ||
1251 | // Signal jet vs. signal jet | |
1252 | for (Int_t j = i+1; j<fNumberSignalJets; j++) | |
1253 | { | |
1254 | AliEmcalJet* tmpJet2 = fSignalJets[j]; | |
1255 | FillHistogram("hJetDeltaPhi", GetDeltaPhi(tmpJet->Phi(), tmpJet2->Phi())); | |
1256 | FillHistogram("hJetDeltaPhiPt", GetDeltaPhi(tmpJet->Phi(), tmpJet2->Phi()), max(tmpJet->Pt(), tmpJet2->Pt())); | |
1257 | ||
1258 | // ### Dijets II ### | |
1259 | if (IsDijet(tmpJet, tmpJet2)) // Gettin' the money | |
1260 | { | |
1261 | FillHistogram("hDijet2ConstituentsPt", tmpJet->Pt()); FillHistogram("hDijet2ConstituentsPt", tmpJet2->Pt()); | |
1262 | FillHistogram("hDijet2LeadingJetPt", fFirstLeadingJet->Pt()); | |
1263 | FillHistogram("hDijet2PtCorrelation", tmpJet->Pt(), tmpJet2->Pt()); | |
1264 | } | |
1265 | } | |
1266 | } | |
1267 | } //endif AnalyzeJets | |
1268 | ||
1269 | #ifdef DEBUGMODE | |
efb9b161 | 1270 | AliInfo("Calculate()::Jets done."); |
8628b70c | 1271 | #endif |
1272 | ////////////////////// NOTE: Background analysis | |
1273 | ||
1274 | if (fAnalyzeBackground) | |
1275 | { | |
1276 | ||
1277 | Int_t leadingJetIds[] = {-1, -1}; | |
1278 | GetLeadingJets(fBackgroundJetArray, &leadingJetIds[0], kFALSE); | |
1279 | ||
1280 | for (Int_t i = 0; i < fBackgroundJetArray->GetEntries(); i++) | |
1281 | { | |
1282 | AliEmcalJet* jet = static_cast<AliEmcalJet*>(fBackgroundJetArray->At(i)); | |
1283 | if (!jet) | |
1284 | { | |
1285 | AliError(Form("%s: Could not receive kt jet %d", GetName(), i)); | |
1286 | continue; | |
1287 | } | |
1288 | if (!IsBackgroundJetInAcceptance(jet)) | |
1289 | continue; | |
1290 | if (!((jet->Eta() >= -fBackgroundJetEtaWindow) && (jet->Eta() < fBackgroundJetEtaWindow))) | |
1291 | continue; | |
1292 | ||
1293 | FillHistogram("hKTJetPhiEta", jet->Phi(),jet->Eta()); | |
1294 | if(i==leadingJetIds[0]) | |
1295 | FillHistogram("hKTLeadingJetPhiEta", jet->Phi(),jet->Eta()); | |
1296 | ||
1297 | } | |
1298 | ||
1299 | // ############# RC, Track, and KT background calculations | |
1300 | Double_t etaMin = 0; | |
1301 | for (Int_t i=0;i<fBackgroundEtaBins;i++) | |
1302 | { | |
1303 | etaMin = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * (i+0.5); | |
1304 | FillHistogram("hRCBackground", etaMin, rcBackgroundRhoMean[i]); | |
1305 | FillHistogram("hTrackBackground", etaMin, trackBackgroundRhoMean[i]); | |
1306 | FillHistogram("hKTBackground", etaMin, ktBackgroundRhoMedian[i]); | |
1307 | FillHistogram("hKTBackground2", etaMin, ktBackground2RhoMedian[i]); | |
1308 | if(centralityPercentile <= 20.) | |
1309 | { | |
1310 | FillHistogram("hRCBackgroundMostCentral", etaMin, rcBackgroundRhoMean[i]); | |
1311 | FillHistogram("hTrackBackgroundMostCentral", etaMin, trackBackgroundRhoMean[i]); | |
1312 | FillHistogram("hKTBackgroundMostCentral", etaMin, ktBackgroundRhoMedian[i]); | |
1313 | FillHistogram("hKTBackground2MostCentral", etaMin, ktBackground2RhoMedian[i]); | |
1314 | } | |
1315 | else if(centralityPercentile >= 80.) | |
1316 | { | |
1317 | FillHistogram("hRCBackgroundMostPeripheral", etaMin, rcBackgroundRhoMean[i]); | |
1318 | FillHistogram("hTrackBackgroundMostPeripheral", etaMin, trackBackgroundRhoMean[i]); | |
1319 | FillHistogram("hKTBackgroundMostPeripheral", etaMin, ktBackgroundRhoMedian[i]); | |
1320 | FillHistogram("hKTBackground2MostPeripheral", etaMin, ktBackground2RhoMedian[i]); | |
1321 | } | |
1322 | } | |
1323 | ||
1324 | FillHistogram("hRCBackgroundVsCentrality", rcBackgroundRhoMean[fBackgroundEtaBins], centralityPercentile); | |
1325 | FillHistogram("hTrackBackgroundVsCentrality", trackBackgroundRhoMean[fBackgroundEtaBins], centralityPercentile); | |
1326 | FillHistogram("hKTBackgroundVsCentrality", ktBackgroundRhoMedian[fBackgroundEtaBins], centralityPercentile); | |
1327 | FillHistogram("hKTBackground2VsCentrality", ktBackground2RhoMedian[fBackgroundEtaBins], centralityPercentile); | |
1328 | ||
1329 | if (dijetBackground >= 0) | |
1330 | { | |
1331 | // Background in Dijet events | |
1332 | FillHistogram("hDijetBackground", dijetBackground); | |
1333 | if(centralityPercentile <= 20.) | |
1334 | FillHistogram("hDijetBackgroundMostCentral", dijetBackground); | |
1335 | FillHistogram("hDijetBackgroundVsCentrality", dijetBackground, centralityPercentile); | |
1336 | } | |
1337 | if (dijetBackgroundPerpendicular >= 0) | |
1338 | { | |
1339 | // Background in Dijet events | |
1340 | FillHistogram("hDijetBackgroundPerpendicular", dijetBackgroundPerpendicular); | |
1341 | if(centralityPercentile <= 20.) | |
1342 | FillHistogram("hDijetBackgroundPerpendicularMostCentral", dijetBackgroundPerpendicular); | |
1343 | FillHistogram("hDijetBackgroundPerpendicularVsCentrality", dijetBackgroundPerpendicular, centralityPercentile); | |
1344 | } | |
1345 | ||
1346 | // ########## Delta pT calculations (most central, kt is eta corrected) | |
1347 | if (centralityPercentile <= 20.) | |
1348 | { | |
1349 | Double_t tmpDeltaPtKT, tmpDeltaPtKT2Excl, tmpDeltaPtKT1Excl; | |
1350 | Double_t tmpDeltaPtKTEta, tmpDeltaPtKTEta2Excl, tmpDeltaPtKTEta1Excl, tmpDeltaPtKT2Eta2Excl; | |
1351 | Double_t tmpDeltaPtRC, tmpDeltaPtRC2Excl, tmpDeltaPtRC1Excl; | |
1352 | Double_t tmpDeltaPtTR, tmpDeltaPtTR2Excl, tmpDeltaPtTR1Excl; | |
1353 | ||
1354 | GetDeltaPt(tmpDeltaPtKT, ktBackgroundRhoMedian[fBackgroundEtaBins], 0, -1, kTRUE); | |
1355 | GetDeltaPt(tmpDeltaPtKTEta, ktBackgroundRhoMedian[fKTDeltaPtEtaBin], 0, fKTDeltaPtEtaBin); | |
1356 | GetDeltaPt(tmpDeltaPtRC, rcBackgroundRhoMean[fBackgroundEtaBins], 0); | |
1357 | GetDeltaPt(tmpDeltaPtTR, trackBackgroundRhoMean[fBackgroundEtaBins], 0); | |
1358 | ||
1359 | GetDeltaPt(tmpDeltaPtKT1Excl, ktBackgroundRhoMedian[fBackgroundEtaBins], 1, -1, kTRUE); | |
1360 | GetDeltaPt(tmpDeltaPtKTEta1Excl, ktBackgroundRhoMedian[fKTDeltaPtEtaBin], 1, fKTDeltaPtEtaBin); | |
1361 | GetDeltaPt(tmpDeltaPtRC1Excl, rcBackgroundRhoMean[fBackgroundEtaBins], 1); | |
1362 | GetDeltaPt(tmpDeltaPtTR1Excl, trackBackgroundRhoMean[fBackgroundEtaBins], 1); | |
1363 | ||
1364 | GetDeltaPt(tmpDeltaPtKT2Excl, ktBackgroundRhoMedian[fBackgroundEtaBins], 2, -1, kTRUE); | |
1365 | GetDeltaPt(tmpDeltaPtKTEta2Excl, ktBackgroundRhoMedian[fKTDeltaPtEtaBin], 2, fKTDeltaPtEtaBin); | |
1366 | GetDeltaPt(tmpDeltaPtRC2Excl, rcBackgroundRhoMean[fBackgroundEtaBins], 2); | |
1367 | GetDeltaPt(tmpDeltaPtTR2Excl, trackBackgroundRhoMean[fBackgroundEtaBins], 2); | |
1368 | ||
1369 | GetDeltaPt(tmpDeltaPtKT2Eta2Excl, ktBackground2RhoMedian[fKTDeltaPtEtaBin], 2, fKTDeltaPtEtaBin); | |
1370 | ||
1371 | // kT Background | |
1372 | if(tmpDeltaPtKT > -10000.0) | |
1373 | FillHistogram("hDeltaPtKT", tmpDeltaPtKT); | |
1374 | if(tmpDeltaPtKT1Excl > -10000.0) | |
1375 | FillHistogram("hDeltaPtKT1Excl", tmpDeltaPtKT1Excl); | |
1376 | if(tmpDeltaPtKT2Excl > -10000.0) | |
1377 | FillHistogram("hDeltaPtKT2Excl", tmpDeltaPtKT2Excl); | |
1378 | ||
1379 | if(tmpDeltaPtKT > -10000.0) | |
1380 | FillHistogram("hDeltaPtKTEta", tmpDeltaPtKTEta); | |
1381 | if(tmpDeltaPtKTEta1Excl > -10000.0) | |
1382 | FillHistogram("hDeltaPtKTEta1Excl", tmpDeltaPtKTEta1Excl); | |
1383 | if(tmpDeltaPtKTEta2Excl > -10000.0) | |
1384 | FillHistogram("hDeltaPtKTEta2Excl", tmpDeltaPtKTEta2Excl); | |
1385 | if(tmpDeltaPtKT2Eta2Excl > -10000.0) | |
1386 | FillHistogram("hDeltaPtKT2Eta2Excl", tmpDeltaPtKT2Eta2Excl); | |
1387 | ||
1388 | // RC Background | |
1389 | if(tmpDeltaPtRC > -10000.0) | |
1390 | FillHistogram("hDeltaPtRC", tmpDeltaPtRC); | |
1391 | if(tmpDeltaPtRC1Excl > -10000.0) | |
1392 | FillHistogram("hDeltaPtRC1Excl", tmpDeltaPtRC1Excl); | |
1393 | if(tmpDeltaPtRC2Excl > -10000.0) | |
1394 | FillHistogram("hDeltaPtRC2Excl", tmpDeltaPtRC2Excl); | |
1395 | // TR Background | |
1396 | if(tmpDeltaPtTR > -10000.0) | |
1397 | FillHistogram("hDeltaPtTR", tmpDeltaPtTR); | |
1398 | if(tmpDeltaPtTR1Excl > -10000.0) | |
1399 | FillHistogram("hDeltaPtTR1Excl", tmpDeltaPtTR1Excl); | |
1400 | if(tmpDeltaPtTR2Excl > -10000.0) | |
1401 | FillHistogram("hDeltaPtTR2Excl", tmpDeltaPtTR2Excl); | |
1402 | } | |
1403 | } | |
1404 | ||
1405 | #ifdef DEBUGMODE | |
efb9b161 | 1406 | AliInfo("Calculate()::Background done."); |
8628b70c | 1407 | #endif |
1408 | } | |
1409 | ||
1410 | //________________________________________________________________________ | |
1411 | Bool_t AliAnalysisTaskChargedJetsPA::Notify() | |
1412 | { | |
1413 | // Implemented Notify() to read the cross sections | |
1414 | // and number of trials from pyxsec.root | |
1415 | // | |
1416 | #ifdef DEBUGMODE | |
efb9b161 | 1417 | AliInfo("Notify started."); |
8628b70c | 1418 | #endif |
1419 | ||
1420 | if(fAnalyzePythia) | |
1421 | { | |
1422 | TTree *tree = AliAnalysisManager::GetAnalysisManager()->GetTree(); | |
1423 | TFile *currFile = tree->GetCurrentFile(); | |
1424 | ||
1425 | TString file(currFile->GetName()); | |
1426 | ||
1427 | if(file.Contains("root_archive.zip#")){ | |
1428 | Ssiz_t pos1 = file.Index("root_archive",12,TString::kExact); | |
1429 | Ssiz_t pos = file.Index("#",1,pos1,TString::kExact); | |
1430 | file.Replace(pos+1,20,""); | |
1431 | } | |
1432 | else { | |
1433 | // not an archive take the basename.... | |
1434 | file.ReplaceAll(gSystem->BaseName(file.Data()),""); | |
1435 | } | |
8628b70c | 1436 | |
1437 | TFile *fxsec = TFile::Open(Form("%s%s",file.Data(),"pyxsec.root")); // problem that we cannot really test the existance of a file in a archive so we have to lvie with open error message from root | |
1438 | if(!fxsec){ | |
1439 | // next trial fetch the histgram file | |
1440 | fxsec = TFile::Open(Form("%s%s",file.Data(),"pyxsec_hists.root")); | |
1441 | if(!fxsec){ | |
1442 | // not a severe condition but inciate that we have no information | |
1443 | return kFALSE; | |
1444 | } | |
1445 | else{ | |
1446 | // find the tlist we want to be independtent of the name so use the Tkey | |
1447 | TKey* key = (TKey*)fxsec->GetListOfKeys()->At(0); | |
1448 | if(!key){ | |
1449 | fxsec->Close(); | |
1450 | return kFALSE; | |
1451 | } | |
1452 | TList *list = dynamic_cast<TList*>(key->ReadObj()); | |
1453 | if(!list){ | |
1454 | fxsec->Close(); | |
1455 | return kFALSE; | |
1456 | } | |
1457 | fCrossSection = ((TProfile*)list->FindObject("h1Xsec"))->GetBinContent(1); | |
1458 | fTrials = ((TH1F*)list->FindObject("h1Trials"))->GetBinContent(1); | |
1459 | fxsec->Close(); | |
1460 | } | |
1461 | } // no tree pyxsec.root | |
1462 | else { | |
1463 | TTree *xtree = (TTree*)fxsec->Get("Xsection"); | |
1464 | if(!xtree){ | |
1465 | fxsec->Close(); | |
1466 | return kFALSE; | |
1467 | } | |
1468 | UInt_t ntrials = 0; | |
1469 | Double_t xsection = 0; | |
1470 | xtree->SetBranchAddress("xsection",&xsection); | |
1471 | xtree->SetBranchAddress("ntrials",&ntrials); | |
1472 | xtree->GetEntry(0); | |
1473 | fTrials = ntrials; | |
1474 | fCrossSection = xsection; | |
1475 | fxsec->Close(); | |
1476 | } | |
1477 | #ifdef DEBUGMODE | |
efb9b161 | 1478 | AliInfo("Notify ended."); |
8628b70c | 1479 | #endif |
1480 | } | |
1481 | return kTRUE; | |
1482 | } | |
1483 | ||
1484 | //________________________________________________________________________ | |
1485 | inline void AliAnalysisTaskChargedJetsPA::FillHistogram(const char * key, Double_t x) | |
1486 | { | |
1487 | TH1* tmpHist = static_cast<TH1*>(fOutputList->FindObject(GetHistoName(key))); | |
1488 | if(!tmpHist) | |
1489 | { | |
1490 | AliInfo(Form("Cannot find histogram <%s> ",key)) ; | |
1491 | return; | |
1492 | } | |
1493 | ||
1494 | tmpHist->Fill(x); | |
1495 | } | |
1496 | ||
1497 | //________________________________________________________________________ | |
1498 | inline void AliAnalysisTaskChargedJetsPA::FillHistogram(const char * key, Double_t x, Double_t y) | |
1499 | { | |
1500 | TH1* tmpHist = static_cast<TH1*>(fOutputList->FindObject(GetHistoName(key))); | |
1501 | if(!tmpHist) | |
1502 | { | |
1503 | AliInfo(Form("Cannot find histogram <%s> ",key)); | |
1504 | return; | |
1505 | } | |
1506 | ||
1507 | if (tmpHist->IsA()->GetBaseClass("TH1")) | |
1508 | static_cast<TH1*>(tmpHist)->Fill(x,y); // Fill x with y | |
1509 | else if (tmpHist->IsA()->GetBaseClass("TH2")) | |
1510 | static_cast<TH2*>(tmpHist)->Fill(x,y); // Fill x,y with 1 | |
1511 | } | |
1512 | ||
1513 | //________________________________________________________________________ | |
1514 | inline void AliAnalysisTaskChargedJetsPA::FillHistogram(const char * key, Double_t x, Double_t y, Double_t add) | |
1515 | { | |
1516 | TH2* tmpHist = static_cast<TH2*>(fOutputList->FindObject(GetHistoName(key))); | |
1517 | if(!tmpHist) | |
1518 | { | |
1519 | AliInfo(Form("Cannot find histogram <%s> ",key)); | |
1520 | return; | |
1521 | } | |
1522 | ||
1523 | tmpHist->Fill(x,y,add); | |
1524 | } | |
1525 | //________________________________________________________________________ | |
1526 | template <class T> T* AliAnalysisTaskChargedJetsPA::AddHistogram1D(const char* name, const char* title, const char* options, Int_t xBins, Double_t xMin, Double_t xMax, const char* xTitle, const char* yTitle) | |
1527 | { | |
1528 | T* tmpHist = new T(GetHistoName(name), GetHistoName(title), xBins, xMin, xMax); | |
1529 | ||
1530 | tmpHist->GetXaxis()->SetTitle(xTitle); | |
1531 | tmpHist->GetYaxis()->SetTitle(yTitle); | |
1532 | tmpHist->SetOption(options); | |
1533 | tmpHist->SetMarkerStyle(kFullCircle); | |
1534 | tmpHist->Sumw2(); | |
1535 | ||
1536 | fHistList->Add(tmpHist); | |
1537 | fHistCount++; | |
1538 | ||
1539 | return tmpHist; | |
1540 | } | |
1541 | ||
1542 | //________________________________________________________________________ | |
1543 | template <class T> T* AliAnalysisTaskChargedJetsPA::AddHistogram2D(const char* name, const char* title, const char* options, Int_t xBins, Double_t xMin, Double_t xMax, Int_t yBins, Double_t yMin, Double_t yMax, const char* xTitle, const char* yTitle, const char* zTitle) | |
1544 | { | |
1545 | T* tmpHist = new T(GetHistoName(name), GetHistoName(title), xBins, xMin, xMax, yBins, yMin, yMax); | |
1546 | tmpHist->GetXaxis()->SetTitle(xTitle); | |
1547 | tmpHist->GetYaxis()->SetTitle(yTitle); | |
1548 | tmpHist->GetZaxis()->SetTitle(zTitle); | |
1549 | tmpHist->SetOption(options); | |
1550 | tmpHist->SetMarkerStyle(kFullCircle); | |
1551 | tmpHist->Sumw2(); | |
1552 | ||
1553 | fHistList->Add(tmpHist); | |
1554 | fHistCount++; | |
1555 | ||
1556 | return tmpHist; | |
1557 | } | |
1558 | ||
1559 | //________________________________________________________________________ | |
1560 | void AliAnalysisTaskChargedJetsPA::Terminate(Option_t *) | |
1561 | { | |
1562 | PostData(1, fOutputList); | |
1563 | ||
1564 | // Mandatory | |
1565 | fOutputList = dynamic_cast<TList*> (GetOutputData(1)); // '1' refers to the output slot | |
1566 | if (!fOutputList) { | |
1567 | printf("ERROR: Output list not available\n"); | |
1568 | return; | |
1569 | } | |
1570 | } | |
1571 | ||
1572 | //________________________________________________________________________ | |
1573 | AliAnalysisTaskChargedJetsPA::~AliAnalysisTaskChargedJetsPA() | |
1574 | { | |
1575 | // Destructor. Clean-up the output list, but not the histograms that are put inside | |
1576 | // (the list is owner and will clean-up these histograms). Protect in PROOF case. | |
1577 | if (fOutputList && !AliAnalysisManager::GetAnalysisManager()->IsProofMode()) { | |
1578 | delete fOutputList; | |
1579 | } | |
1580 | } | |
1581 | ||
1582 | //________________________________________________________________________ | |
1583 | void AliAnalysisTaskChargedJetsPA::UserCreateOutputObjects() | |
1584 | { | |
1585 | // called once to create user defined output objects like histograms, plots etc. | |
1586 | // and to put it on the output list. | |
1587 | // Note: Saving to file with e.g. OpenFile(0) is must be before creating other objects. | |
1588 | ||
1589 | fRandom = new TRandom3(0); | |
1590 | ||
1591 | fOutputList = new TList(); | |
1592 | fOutputList->SetOwner(); // otherwise it produces leaks in merging | |
1593 | ||
1594 | PostData(1, fOutputList); | |
1595 | } | |
1596 | ||
1597 | //________________________________________________________________________ | |
1598 | void AliAnalysisTaskChargedJetsPA::UserExec(Option_t *) | |
1599 | { | |
1600 | #ifdef DEBUGMODE | |
efb9b161 | 1601 | AliInfo("UserExec() started."); |
8628b70c | 1602 | #endif |
1603 | ||
1604 | Calculate(InputEvent()); | |
1605 | ||
1606 | PostData(1, fOutputList); | |
1607 | } |